The demand for Data Scientists is experiencing substantial growth, reflecting the increasing importance of data-driven decision-making across various industries. Data Scientists are responsible for collecting, analyzing, and interpreting large datasets to identify trends, patterns, and insights that can help organizations improve their operations, products, and services. These professionals utilize a combination of statistical analysis, machine learning, and programming skills to extract valuable information from complex data.13,341 Data Scientists jobs in India
Data Scientists
Posted today
Job Viewed
Job Description
Description
Key Responsibilities
AI/ML Development & Research
• Design, develop, and deploy advanced machine learning and deep learning models for complex business problems
• Implement and optimize Large Language Models (LLMs) and Generative AI solutions
• Build agentic AI systems with autonomous decision-making capabilities
• Conduct research on emerging AI technologies and their practical applications
• Perform model evaluation, validation, and continuous improvement
Cloud Infrastructure & Full-Stack Development
• Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP
• Develop full-stack applications integrating AI models with modern web technologies
• Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
• Implement CI/CD pipelines for ML model deployment and monitoring
• Design and optimize cloud infrastructure for high-performance computing workloads
Data Engineering & Database Management
• Design and implement data pipelines for large-scale data processing
• Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
• Optimize database performance for ML workloads and real-time applications
• Implement data governance and quality assurance frameworks
• Handle streaming data processing and real-time analytics
Leadership & Collaboration
• Mentor junior data scientists and guide technical decision-making
• Collaborate with cross-functional teams including product, engineering, and business stakeholders
• Present findings and recommendations to technical and non-technical audiences
• Lead proof-of-concept projects and innovation initiatives
Required Qualifications
Education & Experience
• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field
• 5+ years of hands-on experience in data science and machine learning
• 3+ years of experience with deep learning frameworks and neural networks
• 2+ years of experience with cloud platforms and full-stack development
Technical Skills - Core AI/ML
• Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms
• Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers
• Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering
• Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation
• Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents
Technical Skills - Development & Infrastructure
• Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript
• Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI
• Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB)
• Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes
• MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks
• Big Data: Spark, Hadoop, Kafka, streaming data processing
Preferred Qualifications
• Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma)
• Knowledge of LangChain, LlamaIndex, or similar LLM frameworks
• Experience with model compression and edge deployment
• Familiarity with distributed computing and parallel processing
• Experience with computer vision and NLP applications
• Knowledge of federated learning and privacy-preserving ML
• Experience with quantum machine learning
• Expertise in MLOps and production ML system design
Key Competencies
Technical Excellence
• Strong mathematical foundation in statistics, linear algebra, and optimization
• Ability to implement algorithms from research papers
• Experience with model interpretability and explainable AI
• Knowledge of ethical AI and bias detection/mitigation
Problem-Solving & Innovation
• Strong analytical and critical thinking skills
• Ability to translate business requirements into technical solutions
• Creative approach to solving complex, ambiguous problems
• Experience with rapid prototyping and experimentation
Communication & Leadership
• Excellent written and verbal communication skills
• Ability to explain complex technical concepts to diverse audiences
• Strong project management and organizational skills
• Experience mentoring and leading technical teams
How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.We invite you to explore all TaskUs career opportunities and apply through the provided URL.
Data Scientists
Posted today
Job Viewed
Job Description
Description
Key Responsibilities
AI/ML Development & Research
• Design, develop, and deploy advanced machine learning and deep learning models for complex business problems
• Implement and optimize Large Language Models (LLMs) and Generative AI solutions
• Build agentic AI systems with autonomous decision-making capabilities
• Conduct research on emerging AI technologies and their practical applications
• Perform model evaluation, validation, and continuous improvement
Cloud Infrastructure & Full-Stack Development
• Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP
• Develop full-stack applications integrating AI models with modern web technologies
• Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
• Implement CI/CD pipelines for ML model deployment and monitoring
• Design and optimize cloud infrastructure for high-performance computing workloads
Data Engineering & Database Management
• Design and implement data pipelines for large-scale data processing
• Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
• Optimize database performance for ML workloads and real-time applications
• Implement data governance and quality assurance frameworks
• Handle streaming data processing and real-time analytics
Leadership & Collaboration
• Mentor junior data scientists and guide technical decision-making
• Collaborate with cross-functional teams including product, engineering, and business stakeholders
• Present findings and recommendations to technical and non-technical audiences
• Lead proof-of-concept projects and innovation initiatives
Required Qualifications
Education & Experience
• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field
• 5+ years of hands-on experience in data science and machine learning
• 3+ years of experience with deep learning frameworks and neural networks
• 2+ years of experience with cloud platforms and full-stack development
Technical Skills - Core AI/ML
• Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms
• Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers
• Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering
• Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation
• Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents
Technical Skills - Development & Infrastructure
• Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript
• Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI
• Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB)
• Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes
• MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks
• Big Data: Spark, Hadoop, Kafka, streaming data processing
Preferred Qualifications
• Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma)
• Knowledge of LangChain, LlamaIndex, or similar LLM frameworks
• Experience with model compression and edge deployment
• Familiarity with distributed computing and parallel processing
• Experience with computer vision and NLP applications
• Knowledge of federated learning and privacy-preserving ML
• Experience with quantum machine learning
• Expertise in MLOps and production ML system design
Key Competencies
Technical Excellence
• Strong mathematical foundation in statistics, linear algebra, and optimization
• Ability to implement algorithms from research papers
• Experience with model interpretability and explainable AI
• Knowledge of ethical AI and bias detection/mitigation
Problem-Solving & Innovation
• Strong analytical and critical thinking skills
• Ability to translate business requirements into technical solutions
• Creative approach to solving complex, ambiguous problems
• Experience with rapid prototyping and experimentation
Communication & Leadership
• Excellent written and verbal communication skills
• Ability to explain complex technical concepts to diverse audiences
• Strong project management and organizational skills
• Experience mentoring and leading technical teams
How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.We invite you to explore all TaskUs career opportunities and apply through the provided URL.
Data Scientists
Posted today
Job Viewed
Job Description
Description
Key Responsibilities
AI/ML Development & Research
• Design, develop, and deploy advanced machine learning and deep learning models for complex business problems
• Implement and optimize Large Language Models (LLMs) and Generative AI solutions
• Build agentic AI systems with autonomous decision-making capabilities
• Conduct research on emerging AI technologies and their practical applications
• Perform model evaluation, validation, and continuous improvement
Cloud Infrastructure & Full-Stack Development
• Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP
• Develop full-stack applications integrating AI models with modern web technologies
• Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
• Implement CI/CD pipelines for ML model deployment and monitoring
• Design and optimize cloud infrastructure for high-performance computing workloads
Data Engineering & Database Management
• Design and implement data pipelines for large-scale data processing
• Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
• Optimize database performance for ML workloads and real-time applications
• Implement data governance and quality assurance frameworks
• Handle streaming data processing and real-time analytics
Leadership & Collaboration
• Mentor junior data scientists and guide technical decision-making
• Collaborate with cross-functional teams including product, engineering, and business stakeholders
• Present findings and recommendations to technical and non-technical audiences
• Lead proof-of-concept projects and innovation initiatives
Required Qualifications
Education & Experience
• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field
• 5+ years of hands-on experience in data science and machine learning
• 3+ years of experience with deep learning frameworks and neural networks
• 2+ years of experience with cloud platforms and full-stack development
Technical Skills - Core AI/ML
• Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms
• Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers
• Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering
• Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation
• Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents
Technical Skills - Development & Infrastructure
• Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript
• Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI
• Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB)
• Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes
• MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks
• Big Data: Spark, Hadoop, Kafka, streaming data processing
Preferred Qualifications
• Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma)
• Knowledge of LangChain, LlamaIndex, or similar LLM frameworks
• Experience with model compression and edge deployment
• Familiarity with distributed computing and parallel processing
• Experience with computer vision and NLP applications
• Knowledge of federated learning and privacy-preserving ML
• Experience with quantum machine learning
• Expertise in MLOps and production ML system design
Key Competencies
Technical Excellence
• Strong mathematical foundation in statistics, linear algebra, and optimization
• Ability to implement algorithms from research papers
• Experience with model interpretability and explainable AI
• Knowledge of ethical AI and bias detection/mitigation
Problem-Solving & Innovation
• Strong analytical and critical thinking skills
• Ability to translate business requirements into technical solutions
• Creative approach to solving complex, ambiguous problems
• Experience with rapid prototyping and experimentation
Communication & Leadership
• Excellent written and verbal communication skills
• Ability to explain complex technical concepts to diverse audiences
• Strong project management and organizational skills
• Experience mentoring and leading technical teams
How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.We invite you to explore all TaskUs career opportunities and apply through the provided URL.
Data Scientists
Posted today
Job Viewed
Job Description
Python, R, SQL,
predictive
modeling
Python, R, SQL,
predictive
modeling
Python, R, SQL,
predictive
modeling
Python, R, SQL,
predictive
modeling
Python, R, SQL,
predictive
modeling
Python, R, SQL,
predictive
modeling
Python, R, SQL,
predictive
modeling
Python, R, SQL,
predictive
modeling
Python, R, SQL,
predictive
modeling
Requirements
• Frontend Framework: Angular
• ervers : Tomcat, Jetty, JBoss, Nginx, Apache HTTP Server
• T ols : Maven, Log4j 2, JUnit 5, Mockito, Postman, Swagger,
JMeter, Logback
• O : Windows, Linux
• V rsion Control : Git, GitHub
• I E : Eclipse, STS, IntelliJ IDEA
• M ssaging Systems : Apache Kafka
• C oud : AWS, Azure
• D vOps Tools : Docker, Kubernetes, GitLab
• F ontend Framework: Angular
• S rvers : Tomcat, Jetty, JBoss, Nginx, Apache HTTP Server
• T ols : Maven, Log4j 2, JUnit 5, Mockito, Postman, Swagger,
JMeter, Logback
• O : Windows, Linux
• V rsion Control : Git, GitHub
• I E : Eclipse, STS, IntelliJ IDEA
• M ssaging Systems : Apache Kafka
• C oud : AWS, Azure
• D vOps Tools : Docker, Kubernetes, GitLab
Data Scientists
Posted today
Job Viewed
Job Description
Description
Key Responsibilities
AI/ML Development & Research
• Design, develop, and deploy advanced machine learning and deep learning models for complex business problems
• Implement and optimize Large Language Models (LLMs) and Generative AI solutions
• Build agentic AI systems with autonomous decision-making capabilities
• Conduct research on emerging AI technologies and their practical applications
• Perform model evaluation, validation, and continuous improvement
Cloud Infrastructure & Full-Stack Development
• Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP
• Develop full-stack applications integrating AI models with modern web technologies
• Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
• Implement CI/CD pipelines for ML model deployment and monitoring
• Design and optimize cloud infrastructure for high-performance computing workloads
Data Engineering & Database Management
• Design and implement data pipelines for large-scale data processing
• Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
• Optimize database performance for ML workloads and real-time applications
• Implement data governance and quality assurance frameworks
• Handle streaming data processing and real-time analytics
Leadership & Collaboration
• Mentor junior data scientists and guide technical decision-making
• Collaborate with cross-functional teams including product, engineering, and business stakeholders
• Present findings and recommendations to technical and non-technical audiences
• Lead proof-of-concept projects and innovation initiatives
Required Qualifications
Education & Experience
• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field
• 5+ years of hands-on experience in data science and machine learning
• 3+ years of experience with deep learning frameworks and neural networks
• 2+ years of experience with cloud platforms and full-stack development
Technical Skills - Core AI/ML
• Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms
• Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers
• Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering
• Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation
• Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents
Technical Skills - Development & Infrastructure
• Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript
• Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI
• Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB)
• Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes
• MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks
• Big Data: Spark, Hadoop, Kafka, streaming data processing
Preferred Qualifications
• Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma)
• Knowledge of LangChain, LlamaIndex, or similar LLM frameworks
• Experience with model compression and edge deployment
• Familiarity with distributed computing and parallel processing
• Experience with computer vision and NLP applications
• Knowledge of federated learning and privacy-preserving ML
• Experience with quantum machine learning
• Expertise in MLOps and production ML system design
Key Competencies
Technical Excellence
• Strong mathematical foundation in statistics, linear algebra, and optimization
• Ability to implement algorithms from research papers
• Experience with model interpretability and explainable AI
• Knowledge of ethical AI and bias detection/mitigation
Problem-Solving & Innovation
• Strong analytical and critical thinking skills
• Ability to translate business requirements into technical solutions
• Creative approach to solving complex, ambiguous problems
• Experience with rapid prototyping and experimentation
Communication & Leadership
• Excellent written and verbal communication skills
• Ability to explain complex technical concepts to diverse audiences
• Strong project management and organizational skills
• Experience mentoring and leading technical teams
How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.We invite you to explore all TaskUs career opportunities and apply through the provided URL.
Data Scientists
Posted 1 day ago
Job Viewed
Job Description
To enable this, we rely on our team. And we are on a perpetual lookout of like-minded individuals who value relationships and see the workplace as an extension of their personal self aligning with the mission and vision that Xtage Labs has been founded upon. We are an equal opportunity employer, irrespective of gender, religion, ethnicity and race. As long as you bring a unique perspective to the work we do, we would love to hear from you.
We are always on the lookout for Data Scientists with following qualification:
- Has a very strong knowledge of statistics, especially Multiple Linear Regression
- Has worked on one or more Regression problems on the job
- Can work on both R and Python as per project requirement
- Is able to explain the projects he/she has worked on with a clear understanding of the business goals
- Experience of developing data stories on Tableau, R Shiny and/or Power BI
- Has good command over written and verbal communication in English
- Is confident and empathetic
- Is not afraid to ask questions
We believe a data scientist should have a strong foundation of statistics, should understand regression very well and should be able to express using R and Python. Ability to convey data science to non technical audience and excellent communication skills is non-negotiable.
Data Scientists
Posted 1 day ago
Job Viewed
Job Description
Thrive in a vibrant, collaborative environment where your ideas matter. Work on impactful projects, grow fast, and learn continuously.
**Why You Should Join Us**:
**Learning Opportunity**:
- Unlock continuous learning opportunities to enhance your skills and knowledge, with access to resources, training programs, and mentorship that support your professional growth and keep you at the forefront of the industry.
**Innovation**:
- Experience a culture that embraces innovation, where your ideas are valued and nurtured to drive groundbreaking solutions and push the boundaries of what's possible.
**Transparent Culture**:
- Be part of a transparent culture where open communication, trust, and respect are valued. Embrace an environment where diverse perspectives are encouraged, collaboration thrives, and decisions are made collectively.
**Fun at Work**:
- Enjoy a vibrant and enjoyable work atmosphere that promotes a healthy work-life balance. Engage in team-building activities, celebrations, and events that foster camaraderie and create memorable experiences with your colleagues.
**What We Offer**:
We believe in taking care of our team members and providing an environment where they can thrive both professionally and personally.
- Competitive salary
- Health insurance coverage
- Flexible working hours
- Hybrid work options
- Professional development budget
- Modern office space
- Team outings
- Mentorship programs
**Work at Impelox**:
**Collaborative Team**:
- Work with passionate AI enthusiasts**Innovation First**:
- Experiment with cutting-edge technology**Work-Life Balance**:
- Flexible schedules and remote options**Data Scientists**:
- Full-time
- Chennai, India
- 3-6 years
Analyze complex datasets and build predictive models to drive business insights.
**Required Skills**:
Python
Deep Learning
Machine Learning
SQL
RAG
LLM
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Senior Principal Consultant - Data Scientists with Computer vision experience!
Posted today
Job Viewed
Job Description
Ready to shape the future of work?
At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.
Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook.
Inviting applications for the role of Senior Principal Consultant - Data Scientists with Computer vision experience!
We are seeking a tenured and highly skilled Data Scientist with deep expertise in Computer Vision and a strong foundation in AI/ML modeling. The ideal candidate will not only lead the development of intelligent vision systems but will also serve as a technical mentor, providing guidance to junior data scientists on model selection, optimization, and deployment strategies. Experience in domains such as energy, power generation, industrial equipment, or manufacturing will be considered a strong advantage, as the role involves solving real-world visual AI/ML problems in industrial environments.
Key Responsibilities:
Lead CV Projects: Design and deliver Computer Vision models across a range of use cases (e.g., anomaly detection, visual inspections, OCR, predictive maintenance).
Model Development: Develop, evaluate, and optimizestate-of-the-art AI/ML models (e.g., CNNs, Vision Transformers, YOLO, Faster R-CNN, etc.).
Mentorship: Guide junior and mid-level data scientists on best practices in feature engineering, model selection, evaluation metrics, and problem-solving strategies.
Domain Translation: Translate complex industrial problems into AI-driven CV solutions that can scale in production environments.
Collaboration: Work closely with software engineers, MLOps, and business teams to ensure model integration and operational success.
Code Quality & Experimentation: Drive code modularity, reproducibility, and experimentation through use of ML pipelines, version control, and testing.
Innovation & Research: Stay current with latest CV and AI/ML advancements and apply them appropriately to business problems.
Stakeholder Communication: Present insights, models, and outcomes in a clear and impactful way to both technical and non-technical stakeholders.
Qualifications we seek in you!
Minimum Qualifications
Master’s or PhD in Computer Science, Machine Learning, AI, Electrical Engineering, or a related field.
industry experience in building and deploying machine learning models, with a strong portfolio in Computer Vision.
Deep expertise in ML frameworks and CV libraries such as PyTorch, TensorFlow, OpenCV, Detectron2, MMDetection, etc.
Solid understanding of core AI/ML algorithms – classification, regression, segmentation, object detection, time-series, clustering, etc.
Experience with MLOps tools (e.g., MLflow, DVC, Kubeflow) and cloud platforms (AWS/GCP/Azure).
Strong communication, leadership, and team collaboration skills.
Preferred Qualifications:
Prior experience in domains such as energy, utilities, power generation, or industrial systems is highly preferred.
Experience deploying CV models within real-time environments.
Contributions to open-source CV projects or published research.
Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.
Lead the development of CI/CD pipelines and standardize deployment frameworks.
Strong Python programming skills.
Why join Genpact?
Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation
Make an impact – Drive change for global enterprises and solve business challenges that matter
Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities
Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Let’s build tomorrow together.
Lead Consultant-Data Scientists with AI and Generative Model experience
Posted today
Job Viewed
Job Description
Ready to shape the future of work?
At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.
Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook.
Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience!
We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals.
Responsibilities • Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.
• Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc.
• Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations.
• Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.
• Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.
• Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.
Qualifications we seek in you:
Minimum Qualifications• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
• Experience in data science, machine learning, AI applications, and generative AI modelling.
• Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks.
• Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.
• Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark.
• Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.
Preferred Qualifications/ skills• Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.
• Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance
• Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.
Why join Genpact?
Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation
Make an impact – Drive change for global enterprises and solve business challenges that matter
Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities
Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Let’s build tomorrow together.
Lead Consultant-Data Scientists with AI and Generative Model experience!
Posted today
Job Viewed
Job Description
Ready to shape the future of work?
At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.
Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook.
Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience!We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals.Responsibilities• Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.• Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc.• Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations.• Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.• Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.• Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.Qualifications we seek in you:
Minimum Qualifications• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.• experience in data science, machine learning, AI applications, and generative AI modeling.• Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks.• Proficient in statistical modeling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.• Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark.• Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations.• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.Preferred Qualifications/ skills• Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.• Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance• Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.
Why join Genpact?
Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation
Make an impact – Drive change for global enterprises and solve business challenges that matter
Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities
Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Let’s build tomorrow together.